Overview

Brought to you by YData

Dataset statistics

Number of variables	24
Number of observations	3678
Missing cells	6712
Missing cells (%)	7.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.4 MiB
Average record size in memory	698.1 B

Variable types

Categorical	10
Text	4
Numeric	10

Alerts

`area` is highly overall correlated with `bathroom` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`builtup_area` is highly overall correlated with `area` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`facing` is highly overall correlated with `builtup_area`	High correlation
`price` is highly overall correlated with `area` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 2 other fields	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`super_builtup_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`facing` has 1045 (28.4%) missing values	Missing
`super_builtup_area` has 1802 (49.0%) missing values	Missing
`builtup_area` has 1988 (54.1%) missing values	Missing
`carpet_area` has 1806 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73502544)	Skewed
`builtup_area` is highly skewed (γ1 = 40.70646407)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33323909)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`facility_score` has 462 (12.6%) zeros	Zeros

Reproduction

Analysis started	2025-05-17 19:00:18.257252
Analysis finished	2025-05-17 19:00:26.785727
Duration	8.53 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

property_type
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.7 KiB

flat	2819
house	859

Length

Max length	5
Median length	4
Mean length	4.2335508
Min length	4

Characters and Unicode

Total characters	15571
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	house
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15571	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15571	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15571	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

society
Text

Distinct	676
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	294.0 KiB

Length

Max length	49
Median length	39
Mean length	16.87245
Min length	1

Characters and Unicode

Total characters	62040
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	308 ?
Unique (%)	8.4%

Sample

1st row	independent
2nd row	the close south
3rd row	signature global city 63a
4th row	saan verdante
5th row	puri diplomatic greens

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	220	2.3%
park	210	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.5%
heights	134	1.4%
Other values (783)	7500	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6715	10.8%
	6006	9.7%
a	5862	9.4%
r	4173	6.7%
n	4164	6.7%
i	3832	6.2%
t	3720	6.0%
s	3474	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18396	29.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	62040	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	6715	10.8%
	6006	9.7%
a	5862	9.4%
r	4173	6.7%
n	4164	6.7%
i	3832	6.2%
t	3720	6.0%
s	3474	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18396	29.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	62040	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	6715	10.8%
	6006	9.7%
a	5862	9.4%
r	4173	6.7%
n	4164	6.7%
i	3832	6.2%
t	3720	6.0%
s	3474	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18396	29.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	62040	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	6715	10.8%
	6006	9.7%
a	5862	9.4%
r	4173	6.7%
n	4164	6.7%
i	3832	6.2%
t	3720	6.0%
s	3474	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18396	29.7%

sector
Text

Distinct	115
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	266.9 KiB

Length

Max length	26
Median length	9
Mean length	9.3183796
Min length	3

Characters and Unicode

Total characters	34273
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 25
2nd row	sector 50
3rd row	sector 63a
4th row	sector 95
5th row	sector 111

Value	Count	Frequency (%)
sector	3449	46.7%
road	178	2.4%
sohna	166	2.2%
85	108	1.5%
102	107	1.4%
92	99	1.3%
69	93	1.3%
90	88	1.2%
81	87	1.2%
109	86	1.2%
Other values (107)	2924	39.6%

Most occurring characters

Value	Count	Frequency (%)
o	3804	11.1%
	3707	10.8%
s	3694	10.8%
r	3694	10.8%
e	3548	10.4%
c	3500	10.2%
t	3460	10.1%
1	1076	3.1%
0	803	2.3%
8	779	2.3%
Other values (21)	6208	18.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34273	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	3804	11.1%
	3707	10.8%
s	3694	10.8%
r	3694	10.8%
e	3548	10.4%
c	3500	10.2%
t	3460	10.1%
1	1076	3.1%
0	803	2.3%
8	779	2.3%
Other values (21)	6208	18.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34273	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	3804	11.1%
	3707	10.8%
s	3694	10.8%
r	3694	10.8%
e	3548	10.4%
c	3500	10.2%
t	3460	10.1%
1	1076	3.1%
0	803	2.3%
8	779	2.3%
Other values (21)	6208	18.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34273	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	3804	11.1%
	3707	10.8%
s	3694	10.8%
r	3694	10.8%
e	3548	10.4%
c	3500	10.2%
t	3460	10.1%
1	1076	3.1%
0	803	2.3%
8	779	2.3%
Other values (21)	6208	18.1%

price
Real number (ℝ)

High correlation

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5333543

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9802752
Coefficient of variation (CV)	1.1764147
Kurtosis	14.938219
Mean	2.5333543
Median Absolute Deviation (MAD)	0.72
Skewness	3.2797205
Sum	9274.61
Variance	8.8820401
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.2	64	1.7%
1.5	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	61	1.7%
1.3	57	1.5%
2	52	1.4%
0.95	52	1.4%
1.6	48	1.3%
Other values (463)	3058	83.1%

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

High correlation

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13891.022

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4716
Q1	6818
median	9020
Q3	13878
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7060

Descriptive statistics

Standard deviation	23207.11
Coefficient of variation (CV)	1.6706554
Kurtosis	186.97609
Mean	13891.022
Median Absolute Deviation (MAD)	2793
Skewness	11.438643
Sum	50855031
Variance	5.3856996 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
6666	13	0.4%
11111	13	0.4%
22222	13	0.4%
8333	12	0.3%
7500	12	0.3%
6000	11	0.3%
Other values (2641)	3510	95.4%
(Missing)	17	0.5%

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

High correlation Skewed

Distinct	1312
Distinct (%)	35.8%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2888.0284

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	519
Q1	1233
median	1733
Q3	2300
95-th percentile	4246
Maximum	875000
Range	874950
Interquartile range (IQR)	1067

Descriptive statistics

Standard deviation	23164.348
Coefficient of variation (CV)	8.0208173
Kurtosis	942.28725
Mean	2888.0284
Median Absolute Deviation (MAD)	533
Skewness	29.735025
Sum	10573072
Variance	5.3658702 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
1950	43	1.2%
3240	43	1.2%
2700	39	1.1%
900	38	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3268	88.9%

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Text

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	428.3 KiB

Length

Max length	124
Median length	119
Mean length	54.231648
Min length	12

Characters and Unicode

Total characters	199464
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1849 ?
Unique (%)	50.3%

Sample

1st row	Plot area 150(125.42 sq.m.)
2nd row	Super Built up area 2491(231.42 sq.m.)Built Up area: 2450 sq.ft. (227.61 sq.m.)Carpet area: 2250 sq.ft. (209.03 sq.m.)
3rd row	Super Built up area 1081(100.43 sq.m.)
4th row	Super Built up area 1965(182.55 sq.m.)Carpet area: 1935 sq.ft. (179.77 sq.m.)
5th row	Super Built up area 3000(278.71 sq.m.)Carpet area: 2950 sq.ft. (274.06 sq.m.)

Value	Count	Frequency (%)
area	5574	18.5%
sq.m	3656	12.1%
up	3021	10.0%
built	2317	7.7%
super	1876	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	683	2.3%
plot	681	2.3%
Other values (2846)	8701	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26469	13.3%
.	20392	10.2%
a	13156	6.6%
r	9458	4.7%
e	9322	4.7%
1	9207	4.6%
s	7568	3.8%
q	7432	3.7%
t	7325	3.7%
u	6773	3.4%
Other values (25)	82362	41.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	199464	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	26469	13.3%
.	20392	10.2%
a	13156	6.6%
r	9458	4.7%
e	9322	4.7%
1	9207	4.6%
s	7568	3.8%
q	7432	3.7%
t	7325	3.7%
u	6773	3.4%
Other values (25)	82362	41.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	199464	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	26469	13.3%
.	20392	10.2%
a	13156	6.6%
r	9458	4.7%
e	9322	4.7%
1	9207	4.6%
s	7568	3.8%
q	7432	3.7%
t	7325	3.7%
u	6773	3.4%
Other values (25)	82362	41.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	199464	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	26469	13.3%
.	20392	10.2%
a	13156	6.6%
r	9458	4.7%
e	9322	4.7%
1	9207	4.6%
s	7568	3.8%
q	7432	3.7%
t	7325	3.7%
u	6773	3.4%
Other values (25)	82362	41.3%

bedRoom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3599782

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8973801
Coefficient of variation (CV)	0.56470012
Kurtosis	18.218941
Mean	3.3599782
Median Absolute Deviation (MAD)	1
Skewness	3.4857171
Sum	12358
Variance	3.6000513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1497	40.7%
2	942	25.6%
4	660	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
7	28	0.8%
12	28	0.8%
Other values (9)	44	1.2%

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1497	40.7%
4	660	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4244154

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9478158
Coefficient of variation (CV)	0.56880241
Kurtosis	17.548118
Mean	3.4244154
Median Absolute Deviation (MAD)	1
Skewness	3.2493833
Sum	12595
Variance	3.7939863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1078	29.3%
2	1047	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1078	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.2 KiB

3+	1173
3	1074
2	884
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3189233
Min length	1

Characters and Unicode

Total characters	4851
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3+
3rd row	2
4th row	3+
5th row	3+

Common Values

Value	Count	Frequency (%)
3+	1173	31.9%
3	1074	29.2%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2247	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2247	46.3%
+	1173	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4851	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	2247	46.3%
+	1173	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4851	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	2247	46.3%
+	1173	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4851	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	2247	46.3%
+	1173	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

Zeros

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7980322

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0116468
Coefficient of variation (CV)	0.88432161
Kurtosis	4.5176196
Mean	6.7980322
Median Absolute Deviation (MAD)	3
Skewness	1.6940262
Sum	24874
Variance	36.139898
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	351	9.5%
4	316	8.6%
8	195	5.3%
6	184	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	937	25.5%

Value	Count	Frequency (%)
0	129	3.5%
1	351	9.5%
2	493	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	184	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

High correlation Missing

Distinct	8
Distinct (%)	0.3%
Missing	1045
Missing (%)	28.4%
Memory size	258.2 KiB

East	623
North-East	623
North	388
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.8374478
Min length	4

Characters and Unicode

Total characters	18003
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North
2nd row	North-East
3rd row	North
4th row	North-East
5th row	East

Common Values

Value	Count	Frequency (%)
East	623	16.9%
North-East	623	16.9%
North	388	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1045	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	623	23.7%
north-east	623	23.7%
north	388	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3775	21.0%
s	2014	11.2%
o	1761	9.8%
h	1761	9.8%
E	1419	7.9%
a	1419	7.9%
N	1204	6.7%
r	1204	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18003	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	3775	21.0%
s	2014	11.2%
o	1761	9.8%
h	1761	9.8%
E	1419	7.9%
a	1419	7.9%
N	1204	6.7%
r	1204	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18003	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	3775	21.0%
s	2014	11.2%
o	1761	9.8%
h	1761	9.8%
E	1419	7.9%
a	1419	7.9%
N	1204	6.7%
r	1204	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18003	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	3775	21.0%
s	2014	11.2%
o	1761	9.8%
h	1761	9.8%
E	1419	7.9%
a	1419	7.9%
N	1204	6.7%
r	1204	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	281.5 KiB

Relatively New	1646
New Property	593
Moderately Old	563
Undefined	306
Old Property	304

Length

Max length	18
Median length	14
Mean length	13.385536
Min length	9

Characters and Unicode

Total characters	49232
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Old Property
2nd row	Moderately Old
3rd row	Under Construction
4th row	New Property
5th row	Relatively New

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	593	16.1%
Moderately Old	563	15.3%
Undefined	306	8.3%
Old Property	304	8.3%
Under Construction	266	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2239	31.8%
relatively	1646	23.3%
property	897	12.7%
old	867	12.3%
moderately	563	8.0%
undefined	306	4.3%
under	266	3.8%
construction	266	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8432	17.1%
l	4722	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2308	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14069	28.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49232	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	8432	17.1%
l	4722	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2308	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14069	28.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49232	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	8432	17.1%
l	4722	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2308	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14069	28.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49232	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	8432	17.1%
l	4722	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2308	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14069	28.6%

property_id
Text

Distinct	3672
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Memory size	265.8 KiB

Length

Max length	9
Median length	9
Mean length	8.9980968
Min length	7

Characters and Unicode

Total characters	33095
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3666 ?
Unique (%)	99.7%

Sample

1st row	R70162684
2nd row	H69433380
3rd row	G69165782
4th row	U70096330
5th row	S69742910

Value	Count	Frequency (%)
m62958574	2	0.1%
c69153300	2	0.1%
k69091354	2	0.1%
w69369638	2	0.1%
g66828720	2	0.1%
i69118750	2	0.1%
g69165782	1	< 0.1%
u70096330	1	< 0.1%
f68728864	1	< 0.1%
i69037888	1	< 0.1%
Other values (3662)	3662	99.6%

Most occurring characters

Value	Count	Frequency (%)
6	5562	16.8%
9	3587	10.8%
8	3241	9.8%
0	3068	9.3%
4	2781	8.4%
2	2716	8.2%
7	2441	7.4%
5	2103	6.4%
1	2021	6.1%
3	1897	5.7%
Other values (26)	3678	11.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	33095	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
6	5562	16.8%
9	3587	10.8%
8	3241	9.8%
0	3068	9.3%
4	2781	8.4%
2	2716	8.2%
7	2441	7.4%
5	2103	6.4%
1	2021	6.1%
3	1897	5.7%
Other values (26)	3678	11.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	33095	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
6	5562	16.8%
9	3587	10.8%
8	3241	9.8%
0	3068	9.3%
4	2781	8.4%
2	2716	8.2%
7	2441	7.4%
5	2103	6.4%
1	2021	6.1%
3	1897	5.7%
Other values (26)	3678	11.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	33095	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
6	5562	16.8%
9	3587	10.8%
8	3241	9.8%
0	3068	9.3%
4	2781	8.4%
2	2716	8.2%
7	2441	7.4%
5	2103	6.4%
1	2021	6.1%
3	1897	5.7%
Other values (26)	3678	11.1%

super_builtup_area
Real number (ℝ)

High correlation Missing

Distinct	593
Distinct (%)	31.6%
Missing	1802
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.1599

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.75
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.25

Descriptive statistics

Standard deviation	763.97585
Coefficient of variation (CV)	0.39683762
Kurtosis	10.356525
Mean	1925.1599
Median Absolute Deviation (MAD)	372
Skewness	1.8371922
Sum	3611599.9
Variance	583659.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
2000	25	0.7%
1578	25	0.7%
2150	22	0.6%
1640	22	0.6%
1900	19	0.5%
2408	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (583)	1635	44.5%
(Missing)	1802	49.0%

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

builtup_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	644
Distinct (%)	38.1%
Missing	1988
Missing (%)	54.1%
Infinite	0
Infinite (%)	0.0%
Mean	2379.666

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	2
5-th percentile	240.45
Q1	1100
median	1650
Q3	2400
95-th percentile	4691
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17942.894
Coefficient of variation (CV)	7.5400894
Kurtosis	1667.8644
Mean	2379.666
Median Absolute Deviation (MAD)	650
Skewness	40.706464
Sum	4021635.5
Variance	3.2194746 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	33	0.9%
2700	33	0.9%
900	28	0.8%
1600	26	0.7%
1300	24	0.7%
2000	24	0.7%
1700	23	0.6%
Other values (634)	1387	37.7%
(Missing)	1988	54.1%

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8115.9806	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	733
Distinct (%)	39.2%
Missing	1806
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2529.1795

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	843
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	947

Descriptive statistics

Standard deviation	22799.836
Coefficient of variation (CV)	9.0147166
Kurtosis	604.53764
Mean	2529.1795
Median Absolute Deviation (MAD)	472.5
Skewness	24.333239
Sum	4734624
Variance	5.1983254 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1600	35	1.0%
1800	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (723)	1578	42.9%
(Missing)	1806	49.1%

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	2973
1	705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3022
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

store room
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3340
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

servant room
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	2350
1	1328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3273
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	2436
2	1038
1	204

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	2
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	204	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	204	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	204	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	204	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	204	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3678	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	204	5.5%

facility_score
Real number (ℝ)

Zeros

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.522567

Minimum	0
Maximum	174
Zeros	462
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.055094
Coefficient of variation (CV)	0.74179516
Kurtosis	-0.88042318
Mean	71.522567
Median Absolute Deviation (MAD)	38
Skewness	0.45856046
Sum	263060
Variance	2814.843
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	462	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
42	45	1.2%
37	45	1.2%
Other values (151)	2314	62.9%

Value	Count	Frequency (%)
0	462	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Interactions

Correlations

	agePossession	area	balcony	bathroom	bedRoom	builtup_area	carpet_area	facility_score	facing	floorNum	furnishing_type	others	pooja room	price	price_per_sqft	property_type	servant room	store room	study room	super_builtup_area
agePossession	1.000	0.000	0.274	0.111	0.129	0.000	0.000	0.255	0.092	0.125	0.214	0.108	0.187	0.102	0.056	0.379	0.287	0.142	0.140	0.086
area	0.000	1.000	0.011	0.687	0.624	0.835	0.801	0.259	0.022	0.116	0.043	0.042	0.037	0.744	0.207	0.028	0.015	0.039	0.018	0.948
balcony	0.274	0.011	1.000	0.225	0.175	0.000	0.026	0.223	0.015	0.079	0.178	0.081	0.197	0.136	0.033	0.214	0.440	0.146	0.182	0.306
bathroom	0.111	0.687	0.225	1.000	0.862	0.464	0.599	0.179	0.044	-0.005	0.194	0.070	0.286	0.720	0.411	0.472	0.520	0.244	0.176	0.819
bedRoom	0.129	0.624	0.175	0.862	1.000	0.380	0.569	0.057	0.032	-0.104	0.166	0.079	0.291	0.681	0.417	0.595	0.317	0.223	0.154	0.800
builtup_area	0.000	0.835	0.000	0.464	0.380	1.000	0.969	0.289	1.000	0.091	0.090	0.000	0.000	0.605	0.132	0.000	0.000	0.000	0.000	0.926
carpet_area	0.000	0.801	0.026	0.599	0.569	0.969	1.000	0.239	0.000	0.159	0.000	0.016	0.000	0.613	0.136	0.000	0.000	0.000	0.003	0.894
facility_score	0.255	0.259	0.223	0.179	0.057	0.289	0.239	1.000	0.065	0.232	0.238	0.176	0.189	0.215	0.054	0.329	0.347	0.228	0.183	0.222
facing	0.092	0.022	0.015	0.044	0.032	1.000	0.000	0.065	1.000	0.000	0.055	0.000	0.029	0.021	0.000	0.094	0.036	0.035	0.000	0.000
floorNum	0.125	0.116	0.079	-0.005	-0.104	0.091	0.159	0.232	0.000	1.000	0.026	0.033	0.103	0.001	-0.126	0.485	0.083	0.112	0.079	0.152
furnishing_type	0.214	0.043	0.178	0.194	0.166	0.090	0.000	0.238	0.055	0.026	1.000	0.063	0.213	0.174	0.022	0.085	0.265	0.156	0.137	0.131
others	0.108	0.042	0.081	0.070	0.079	0.000	0.016	0.176	0.000	0.033	0.063	1.000	0.033	0.034	0.036	0.026	0.000	0.106	0.031	0.084
pooja room	0.187	0.037	0.197	0.286	0.291	0.000	0.000	0.189	0.029	0.103	0.213	0.033	1.000	0.334	0.043	0.252	0.252	0.305	0.313	0.157
price	0.102	0.744	0.136	0.720	0.681	0.605	0.613	0.215	0.021	0.001	0.174	0.034	0.334	1.000	0.744	0.543	0.369	0.303	0.244	0.772
price_per_sqft	0.056	0.207	0.033	0.411	0.417	0.132	0.136	0.054	0.000	-0.126	0.022	0.036	0.043	0.744	1.000	0.201	0.044	0.000	0.030	0.287
property_type	0.379	0.028	0.214	0.472	0.595	0.000	0.000	0.329	0.094	0.485	0.085	0.026	0.252	0.543	0.201	1.000	0.065	0.241	0.128	1.000
servant room	0.287	0.015	0.440	0.520	0.317	0.000	0.000	0.347	0.036	0.083	0.265	0.000	0.252	0.369	0.044	0.065	1.000	0.161	0.185	0.584
store room	0.142	0.039	0.146	0.244	0.223	0.000	0.000	0.228	0.035	0.112	0.156	0.106	0.305	0.303	0.000	0.241	0.161	1.000	0.226	0.046
study room	0.140	0.018	0.182	0.176	0.154	0.000	0.003	0.183	0.000	0.079	0.137	0.031	0.313	0.244	0.030	0.128	0.185	0.226	1.000	0.120
super_builtup_area	0.086	0.948	0.306	0.819	0.800	0.926	0.894	0.222	0.000	0.152	0.131	0.084	0.157	0.772	0.287	1.000	0.584	0.046	0.120	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	property_id	super_builtup_area	builtup_area	carpet_area	study room	servant room	others	furnishing_type	facility_score
0	house	independent	sector 25	4.35	32222.0	1350.0	Plot area 150(125.42 sq.m.)	5	4	3	3.0	North	Old Property	R70162684	NaN	1350.0	NaN	0	1	0	0	49
1	flat	the close south	sector 50	3.10	12444.0	2491.0	Super Built up area 2491(231.42 sq.m.)Built Up area: 2450 sq.ft. (227.61 sq.m.)Carpet area: 2250 sq.ft. (209.03 sq.m.)	3	4	3+	4.0	North-East	Moderately Old	H69433380	2491.0	2450.0	2250.0	0	1	0	2	165
2	flat	signature global city 63a	sector 63a	1.65	15263.0	1081.0	Super Built up area 1081(100.43 sq.m.)	2	2	2	1.0	NaN	Under Construction	G69165782	1081.0	NaN	NaN	0	0	0	0	0
3	flat	saan verdante	sector 95	2.00	10178.0	1965.0	Super Built up area 1965(182.55 sq.m.)Carpet area: 1935 sq.ft. (179.77 sq.m.)	3	4	3+	5.0	North	New Property	U70096330	1965.0	NaN	1935.0	0	1	0	0	49
4	flat	puri diplomatic greens	sector 111	3.90	13000.0	3000.0	Super Built up area 3000(278.71 sq.m.)Carpet area: 2950 sq.ft. (274.06 sq.m.)	4	5	3+	6.0	North-East	Relatively New	S69742910	3000.0	NaN	2950.0	0	1	0	1	160
5	flat	signature global city 63a	sector 63a	1.40	11336.0	1235.0	Carpet area: 1235 (114.74 sq.m.)	2	2	2	3.0	East	Under Construction	I69037888	NaN	NaN	1235.0	0	0	1	0	0
6	flat	ansal heights 86	sector 86	1.05	5541.0	1895.0	Super Built up area 1895(176.05 sq.m.)	3	3	3	9.0	North-East	Under Construction	D26586124	1895.0	NaN	NaN	0	1	0	0	0
7	flat	kamroon court	sector 43	2.75	13750.0	2000.0	Carpet area: 2000 (185.81 sq.m.)	3	4	3+	5.0	North-East	Moderately Old	K69957846	NaN	NaN	2000.0	0	1	1	2	49
8	house	uppal southend	sector 49	3.75	25562.0	1467.0	Built Up area: 163 (136.29 sq.m.)	6	6	3+	3.0	East	Moderately Old	H64867042	NaN	163.0	NaN	1	0	0	2	26
9	flat	dlf regency park	sector 28	2.35	13224.0	1777.0	Super Built up area 1777(165.09 sq.m.)	3	3	2	18.0	North-East	Old Property	T69621608	1777.0	NaN	NaN	0	1	0	0	120

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	property_id	super_builtup_area	builtup_area	carpet_area	study room	pooja room	servant room	others	furnishing_type	facility_score
3792	flat	bestech park view city	sector 48	1.80	10250.0	1756.0	Carpet area: 1756 (163.14 sq.m.)	3	4	3	3.0	North-West	Moderately Old	I64914368	NaN	NaN	1756.0	1	0	0	0	2	76
3793	house	independent house sector 45	sector 40	9.00	38022.0	2367.0	Plot area 2367(219.9 sq.m.)Built Up area: 9000 sq.ft. (836.13 sq.m.)Carpet area: 6000 sq.ft. (557.42 sq.m.)	12	12	3	4.0	North-West	New Property	E69310182	NaN	9000.0	6000.0	0	0	1	0	2	71
3794	house	independent	sector 3	0.80	8155.0	981.0	Plot area 109(91.14 sq.m.)	5	4	1	2.0	NaN	Moderately Old	J55756986	NaN	981.0	NaN	0	0	0	0	0	0
3796	flat	dlf park place	sector 54	4.85	30180.0	1607.0	Super Built up area 1983(184.23 sq.m.)Built Up area: 1785 sq.ft. (165.83 sq.m.)Carpet area: 1607 sq.ft. (149.3 sq.m.)	3	4	3+	6.0	North	Moderately Old	Y69723018	1983.0	1785.0	1607.0	0	0	1	0	1	158
3797	flat	supertech araville	sector 79	0.80	5266.0	1519.0	Carpet area: 1519 (141.12 sq.m.)	2	2	2	12.0	NaN	New Property	G68851842	NaN	NaN	1519.0	1	0	0	0	0	49
3798	flat	tulip violet	sector 69	1.38	8966.0	1539.0	Super Built up area 1538(142.88 sq.m.)	3	3	1	12.0	West	Relatively New	B69355010	1538.0	NaN	NaN	0	1	0	0	0	86
3799	flat	paras irene	sector 70a	1.30	9219.0	1410.0	Super Built up area 1420(131.92 sq.m.)Carpet area: 1410 sq.ft. (130.99 sq.m.)	2	2	3	19.0	NaN	Moderately Old	D70027102	1420.0	NaN	1410.0	0	0	0	0	2	49
3800	flat	dlf the primus	sector 82a	1.85	10176.0	1818.0	Super Built up area 1818(168.9 sq.m.)Carpet area: 1538 sq.ft. (142.88 sq.m.)	3	3	3	15.0	East	Moderately Old	R69271406	1818.0	NaN	1538.0	0	0	0	1	0	38
3801	flat	chintamani	sector 103	1.57	8509.0	1845.0	Built Up area: 1845 (171.41 sq.m.)Carpet area: 1350 sq.ft. (125.42 sq.m.)	3	3	3	1.0	North-East	Undefined	K69908978	NaN	1845.0	1350.0	0	0	0	0	0	0
3802	flat	smart world orchard	sector 61	2.00	12911.0	1549.0	Carpet area: 1549 (143.91 sq.m.)	3	3	2	3.0	NaN	New Property	Q69870078	NaN	NaN	1549.0	0	0	0	1	0	61

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script